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Table 7

Richmond network RF model results

Sensors placementNumber of model inputsModel accuracy
Top 3Top 5Top 10
123, 219, 305, 393, 589 1,734,507 74.00% 84.00% 94.00% 
93, 352, 428, 600, 672 3,785,650 80.20% 88.90% 96.30% 
123, 219, 393, 589 1,729,783 73.00% 83.00% 94.00% 
93, 428, 600, 672 3,205,674 79.60% 88.40% 95.70% 
123, 393, 589 1,720,815 72.80% 83.00% 93.00% 
352, 600, 672 3,299,763 79.80% 87.10% 94.40% 
Sensors placementNumber of model inputsModel accuracy
Top 3Top 5Top 10
123, 219, 305, 393, 589 1,734,507 74.00% 84.00% 94.00% 
93, 352, 428, 600, 672 3,785,650 80.20% 88.90% 96.30% 
123, 219, 393, 589 1,729,783 73.00% 83.00% 94.00% 
93, 428, 600, 672 3,205,674 79.60% 88.40% 95.70% 
123, 393, 589 1,720,815 72.80% 83.00% 93.00% 
352, 600, 672 3,299,763 79.80% 87.10% 94.40% 
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